Ford GoBike Bike Trips in San Francisco Dataset in February 2019¶

by Fatema Mahmoud¶

Investigation Overview¶

  • When are most trips taken in terms of time of day and day of the week?
  • How long does the average trip take?
  • And whether all the phenomena above depends on whether the user is customer or subscriber, their gender, or their age?

Dataset Overview¶

  • The data consists of 183412 rows and 19 columns.
  • It has about 5 categorical data and 4 quantitative data.

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Users' Age, Gender, and Type¶

  • The dataset contains many males than females, and more subscribers than customers.
  • The distribution of users' age is right skewed. The majority of users' birth is between 1979 (~ 41 years old) and 1997 (~ 22 years old).
2021-03-07T22:18:05.789696 image/svg+xml Matplotlib v3.3.4, https://matplotlib.org/

Trips in each day of week and in each hour of day¶

Users tends to take bike trips more on Thursday, then Tuesday, then Wednesday. On the weekend the number of trips is roughly the same on Saturdays and Sundays. That is normal which may indicate that users take bikes for trips during working days. Most trips takes place between 7 - 9 AM and at 4 - 6 PM. Obviously, There are not many trips from 12 AM to 5 AM.

2021-03-07T22:18:06.650094 image/svg+xml Matplotlib v3.3.4, https://matplotlib.org/

Relation between User Type, Trip Duration, and Users' Age¶

  • In general, Customers spends more time in their bike trips more than subscribers.
  • The majority of older users are Subscribers and they spend little time in their bike trips.
  • Younger Customers trip duration is slightly more than younger subscribers.
2021-03-07T22:18:07.757819 image/svg+xml Matplotlib v3.3.4, https://matplotlib.org/

Relation between Users' Gender, Trip Duration, and Users' Age¶

  • In general, Female users average bike trip duration is slightly more than male users.
  • The majority of older users are male users and they spend little time in their bike trips.
  • Younger male users' trip duration is slightly more than the younger users of other genders.
2021-03-07T22:18:15.903527 image/svg+xml Matplotlib v3.3.4, https://matplotlib.org/

Summary of Findings¶

  • The dataset contains many males than females, and more subscribers than customers.
  • Users tends to take bike trips more on Thursday, then Tuesday, then Wednesday. On the weekend the number of trips is roughly the same on Saturdays and Sundays. That is normal which may indicate that users take bikes for trips during working days.

  • Most trips takes place between 7 - 9 AM and at 4 - 6 PM. Obviously, There are not many trips from 12 AM to 5 AM.

  • People who are between 20 and 40 years old tends to take more time in there trips.

  • Customers spends more time in their bike trips more than subscribers.

  • Female users average bike trip duration is slightly more than male users.

  • The majority of older users are male users and they spend little time in their bike trips.

  • The majority of older users are Subscribers and they spend little time in their bike trips.
  • Younger male users' trip duration is slightly more than the younger users of other genders.
  • Younger Customers trip duration is slightly more than younger subscribers.

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